Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66973, first published .
Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis

Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis

Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis

Atta Taseh   1 , MD ;   Souri Sasanfar   1 , MSc ;   Michelle Chan   1 , MSc ;   Evan Sirls   1 , BS ;   Ara Nazarian   2 , PhD ;   Kayhan Batmanghelich   3 , PhD ;   Jonathan F Bean   4, 5, 6 , MD, MPH ;   Soheil Ashkani-Esfahani   1 , MD, MPH

1 Foot & Ankle Research and Innovations Laboratory (FARIL), Department of Orthopaedic Surgery, Mass General Brigham, Harvard Medical School, Weston, MA, United States

2 Musculoskeletal Translational Innovation Initiative, Carl J. Shapiro Department of Orthopaedic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

3 Batman Laboratory, Department of Electrical and Computer Engineering, College of Engineering, Boston University, Boston, MA, United States

4 New England Geriatric Research Education and Clinical Center (GRECC), Veterans Affair Boston Healthcare System, Boston, MA, United States

5 Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, United States

6 Spaulding Rehabilitation, Boston, MA, United States

Corresponding Author:

  • Atta Taseh, MD
  • Foot & Ankle Research and Innovations Laboratory (FARIL)
  • Department of Orthopaedic Surgery, Mass General Brigham, Harvard Medical School
  • 158 Boston Post Road
  • Weston, MA 02493
  • United States
  • Phone: 1 7818279613
  • Email: ataseh@mgh.harvard.edu